no code implementations • 24 May 2024 • Guibao Shen, Luozhou Wang, Jiantao Lin, Wenhang Ge, Chaozhe Zhang, Xin Tao, Yuan Zhang, Pengfei Wan, Zhongyuan Wang, Guangyong Chen, Yijun Li, Ying-Cong Chen
In this paper, we introduce the Scene Graph Adapter(SG-Adapter), leveraging the structured representation of scene graphs to rectify inaccuracies in the original text embeddings.
no code implementations • 29 Mar 2024 • Luozhou Wang, Guibao Shen, Yixun Liang, Xin Tao, Pengfei Wan, Di Zhang, Yijun Li, Yingcong Chen
In this research, we present a novel approach to motion customization in video generation, addressing the widespread gap in the thorough exploration of motion representation within video generative models.
1 code implementation • 5 Oct 2023 • Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Yingcong Chen
Denoising Diffusion Probabilistic Models (DDPMs) have garnered popularity for data generation across various domains.
1 code implementation • ICCV 2023 • Luozhou Wang, Shuai Yang, Shu Liu, Ying-Cong Chen
Conditional diffusion models have demonstrated impressive performance in image manipulation tasks.
1 code implementation • 26 Jun 2023 • Luozhou Wang, Guibao Shen, Wenhang Ge, Guangyong Chen, Yijun Li, Ying-Cong Chen
The ``Decompose'' phase separates conditions based on pair relationships, computing the result individually for each pair.
no code implementations • CVPR 2023 • Leheng Li, Qing Lian, Luozhou Wang, Ningning Ma, Ying-Cong Chen
This work explores the use of 3D generative models to synthesize training data for 3D vision tasks.